Instructions to use andrewgray11/autotrain-solar-panel-object-detection-50559120777 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andrewgray11/autotrain-solar-panel-object-detection-50559120777 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="andrewgray11/autotrain-solar-panel-object-detection-50559120777") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("andrewgray11/autotrain-solar-panel-object-detection-50559120777") model = AutoModelForImageClassification.from_pretrained("andrewgray11/autotrain-solar-panel-object-detection-50559120777") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 50559120777
- CO2 Emissions (in grams): 0.8787
Validation Metrics
- Loss: 0.033
- Accuracy: 0.992
- Macro F1: 0.641
- Micro F1: 0.992
- Weighted F1: 0.989
- Macro Precision: 0.619
- Micro Precision: 0.992
- Weighted Precision: 0.986
- Macro Recall: 0.667
- Micro Recall: 0.992
- Weighted Recall: 0.992
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